Working Group 6 | Personalized AI Assistant @ Intelligent Cooperation Workshop

Working group six discussed the challenges and approaches to creating a personalized AI assistant that also respects privacy. They mentioned two approaches: firstly, fine-tuning an existing model using personal data locally, and secondly, training a model from scratch using differential privacy techniques. They highlighted the importance of explaining the technical aspects to ensure user understanding. The group also discussed the need for alpha testing with a diverse group of users and the potential costs involved. They mentioned the importance of monitoring and improving the performance of the personalized tasks over time. The risks of cultural biases and the need for cultural sensitivity in AI assistants were also mentioned. The group emphasized the potential benefits of solving privacy and usefulness issues, such as streamlining administrative tasks and improving efficiency. They briefly touched on the challenges of defining personal data and the potential for users to specify their own privacy preferences. The group concluded by mentioning previous discussions on fiduciary AI assistance and legal considerations.